Image-to-Text
ultralytics
PyTorch
PaddlePaddle
English
ocr
yolo
computer-vision
image-classification
object-detection
indian-id
document-processing
Eval Results (legacy)
Instructions to use logasanjeev/indian-id-validator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use logasanjeev/indian-id-validator with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("logasanjeev/indian-id-validator", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Dataset
#1
by akshay0411 - opened
Hi,
May i know how much data you used to train these models?
logasanjeev changed discussion status to closed
logasanjeev changed discussion status to open
I worked with multiple datasets from Roboflow Universe for different ID varieties. In cases where a single dataset was insufficient, I merged multiple datasets to ensure adequate coverage. Overall, the combined dataset size was roughly 10β15 GB.
Can you please provide the full dataset here